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Spatial Microsimulation Models: A Review and a Glimpse into the Future

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Population Dynamics and Projection Methods

Part of the book series: Understanding Population Trends and Processes ((UPTA,volume 4))

Abstract

In this chapter we present a review of the development of microsimulation modelling (MSM) over the past 50 years or so and attempt to outline some of the challenges and opportunities that researchers in the field are currently exploring. Phil Rees is perhaps best known for his research in fields outside MSM but, as we will indicate, he has made significant contributions largely through collaboration and supervision of research students at Leeds, so it is fitting that in this book there is a chapter that makes due acknowledgement of his work.

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References

  • Arthur, W. (1999). Complexity and the economy. Science, 284, 107 –109.

    Article  Google Scholar 

  • Ballas, D., & Clarke, G. (2000). GIS and microsimulation for local labour market policy analysis. Computers, Environment and Urban Systems, 24, 305 –330.

    Article  Google Scholar 

  • Ballas, D., Clarke, G., Dorling, D., Eyre, H., Thomas, B., & Rossiter, D. (2005). SimBritain: A spatial microsimulation approach to population dynamics. Population, Space and Place, 11(1), 13 –34.

    Article  Google Scholar 

  • Beckmann, R., Baggerly, K., & McKay, M. (1996). Creating synthetic baseline populations. Transportation Research, 30A(6), 415 –435.

    Google Scholar 

  • Birkin, M., & Clarke, G. (2009, June 8 –10). Improving the representation of diversity in spatial microsimulation models. Ottawa: IMA.

    Google Scholar 

  • Birkin, M., & Clarke, M. (1987). Comprehensive models and efficient accounting frameworks for urban and regional systems. In D. Griffith & R. Haining (Eds.), Transformations through space and time (pp. 169 –195). The Hague: Martinus Nijhoff.

    Google Scholar 

  • Birkin, M., & Clarke, M. (1988). Synthesis: A synthetic spatial information system for urban modelling and spatial planning. Environment and Planning A, 20, 1645 –1671.

    Article  Google Scholar 

  • Birkin, M., & Clarke, M. (1989). The generation of individual and household incomes at the small area level using synthesis. Regional Studies, 23, 535 –548.

    Article  Google Scholar 

  • Birkin, M., Procter, R., Allan, R., Bechhofer, S., Buchan, I., Finch, J., et al. (2010). The elements of a computational infrastructure for social simulation. Philosophical Transactions of the Royal Society Series A, 368, 3797 –3812.

    Article  Google Scholar 

  • Birkin, M., Townend, P., Turner, A., Wu, B., & Xu, J. (2009). MoSeS: A Grid-enabled spatial decision support system. Social Science Computer Review, 27, 493–508.

    Google Scholar 

  • Birkin, M., Turner, A., & Wu, B. (2006). A synthetic demographic model of the UK population: Methods, progress and problems. Proceedings of the second international conference on e-social science, Manchester.

    Google Scholar 

  • Clarke, M. (1983). Integrating dynamical models of urban spatial structure and activities: An application to urban retail systems. Unpublished PhD thesis, University of Leeds, Leeds.

    Google Scholar 

  • Clarke, M., Keys, P., & Williams, H. C. W. L. (1981). Microsimulation. In N. Wrigley & R. J. Bennett (Eds.), Quantitative geography. London: Routledge and Kegan Paul.

    Google Scholar 

  • Duley, C. (1989). A model for updating census-based household and individual information for inter-censal years. Unpublished PhD thesis, School of Geography, University of Leeds, Leeds.

    Google Scholar 

  • Duley, C., Rees, P., & Clarke, M. (1988). A microsimulation model for updating households in small areas between censuses (Working Paper 515). School of Geography, University of Leeds, Leeds.

    Google Scholar 

  • Edwards, S. (2009, April 2). Developing and maintaining microsimulation models at DWP. London: ESRC Microsimulation Series.

    Google Scholar 

  • Epstein, J. (2009). Modelling to contain pandemics. Nature, 460, 687.

    Article  Google Scholar 

  • Epstein, J., & Axtell, R. (1996). Growing artificial societies: Social science from the bottom up. Washington, DC/London: Brookings Institution Press/MIT Press.

    Google Scholar 

  • Eubank, S., Guclu, H., Anil Kumar, V., Marathe, M., Srinivasan, A., Toroczkai, Z., et al. (2004). Modelling disease outbreaks in realistic urban social networks. Nature, 429(6988), 180 –184.

    Article  Google Scholar 

  • Ferguson, N. M., Cummings, A. T., Cauchemez, S., Fraser, C., Riley, S., & Meeyai, A. (2005). Strategies for containing an emerging influenza pandemic in Southeast Asia. Nature, 437(7056), 209 –214.

    Article  Google Scholar 

  • Gampe, J., Zinn, S., Willekens, F., & van den Gaag, N. (2007). Population forecasting via microsimulation: The software design of the MicMac project. Eurostat: Methodologies and working papers; Theme: Population and social conditions (pp. 229 –233). Luxembourg: Office for Official Publications of the European Communities.

    Google Scholar 

  • Hagerstrand, T. (1957). Migration and area. In D. Hannerberg, T. Hagerstrand, & B. Odeving (Eds.), Migration in Sweden, Lund Studies in Geography, Series B, 13, 27 –158, Lund.

    Google Scholar 

  • Hägerstrand, T. (1967). Innovation diffusion as a spatial process, Chicago: University of Chicago Press.

    Google Scholar 

  • Holmer, M. (2009 8 –11 June). Projecting future US pension benefits, Ottawa: IMA.

    Google Scholar 

  • Jin, J. (2009). Microsimulation and water demand forecasting. Unpublished PhD thesis, School of Geography, University of Leeds, Leeds.

    Google Scholar 

  • Kain, J. F., & Apgar, W. C. (1977). Simulation of the market effects of housing allowances, baseline and policy simulations for Pittsburgh and Chicago (Vol. II). Cambridge, MA: Department of City and Regional Planning, Harvard University.

    Google Scholar 

  • Kavroudakis, D. (2009). Dynamic spatial microsimulation modelling of education in UK. Unpublished PhD thesis, School of Geography, University of Sheffield, Sheffield.

    Google Scholar 

  • Li, X., Mao, W., Zeng, D., & Wang, F. (2008). Agent-based social simulation and modeling in social computing. Lecture Notes in Computer Science, 5075/2010. Berlin: Springer.

    Google Scholar 

  • Murphy, M. (2004). Tracing very long-term kinship networks using SOCSIM. Demographic Research, 10(7), 171 –196.

    Article  Google Scholar 

  • Nakaya, T., Fotheringham, A. S., Clarke, G., & Ballas, D. (2007). Retail modelling combining meso and micro approaches. Journal of Geographical Systems, 9, 345 –369.

    Article  Google Scholar 

  • Orcutt, G. (1957). A new type of socio-economic system. Review of Economics and Statistics, 58, 773 –797.

    Google Scholar 

  • Orcutt, G., Greenberger, M., Rivlin, A., & Korbel, J. (1961). Microanalysis of socioeconomic systems. A simulation study. New York: Harper and Row.

    Google Scholar 

  • Orcutt, G., Caldwell, S., & Wertheimer, R. (1976). Policy exploration through micro-analytical simulation. Washington, DC: The Urban Institute.

    Google Scholar 

  • Procter, K., Clarke, G., Ransley, J., & Cade, J. (2008). Micro-level analysis of childhood obesity, diet, physical activity, residential socio-economic and social capital variables: Where are the obesogenic environments in Leeds? Area, 40(3), 323 –340.

    Article  Google Scholar 

  • Roe, D., & Rendle, D. (2009, September 11). Microsimulation in the treasury: Methods and challenges. Brighton: BSPS.

    Google Scholar 

  • Savage, M., & Burrows, R. (2007). The coming crisis of empirical sociology. Sociology, 41, 885 –899.

    Article  Google Scholar 

  • Smith, D. M., Clarke, G. P., Ransley, J., & Cade, J. (2006). Food access & health: A microsimulation framework for analysis. Studies in Regional Science, 35(4), 909 –927.

    Article  Google Scholar 

  • Statistics Canada. (2009). ModGen developers guide. Online at http://www.statcan.gc.ca/microsimulation/modgen/modgen-eng.htm

  • Tanton, R., McNamara, J., Harding, A., & Morrison, T. (2009). Small area poverty estimates for Australia’s Eastern Seaboard in 2006. In A. Zaidi, A. Harding, & P. Williamson (Eds.), New frontiers in microsimulation modelling (pp. 79 –96). Farnham: Ashgate.

    Google Scholar 

  • Tomintz, M., Clarke, G., & Rigby, J. (2008). The geography of smoking in Leeds: Estimating individual smoking rates and the implications for the location for stop smoking services. Area, 40(3), 341 –353.

    Article  Google Scholar 

  • van Imhoff, E., & Post, W. (1998). Microsimulation methods for population projection. Population: An English Selection, 10, 97 –138.

    Google Scholar 

  • Williams, J. (1993). A simulation model of the diffusion of HIV and AIDS in the United Kingdom. Unpublished PhD thesis, School of Geography, University of Leeds, Leeds.

    Google Scholar 

  • Williamson, P. (1996). Community care policies for the elderly, 1981 and 1991: A microsimulation approach. In G. Clarke (Ed.), Microsimulation for urban and regional policy analysis (pp. 64 –87). London: Pion.

    Google Scholar 

  • Williamson, P., Birkin, M., & Rees, P. (1998). The estimation of population microdata using data from small area statistics and samples of anonymised records. Environment and Planning A, 30, 785 –816.

    Article  Google Scholar 

  • Williamson, P., Clarke, G., & McDonald, A. (1996). Estimating small area demands for water with the use of microsimulation. In G. Clarke (Ed.), Microsimulation for urban and regional policy analysis (pp. 117 –148). London: Pion.

    Google Scholar 

  • Williamson, P. (2010). Microsimulation: Bridging the gaps. Brighton: BSPS. September 11, online at http://pcwww.liv.ac.uk/~william/ESRC-BSPS%20MSM%20Seminar%20Series_files/Williamson2%20edited%20transcript.pdf

  • Wilson, A., & Pownall, C. (1976). A new representation of the urban system for modelling and for the study of micro-level interdependence. Area, 8, 256 –264.

    Google Scholar 

  • Wu, B., Birkin, M., & Rees P. (2008). A spatial microsimulation model with student agents. Computers Environment and Urban Systems, 32, 440 –453.

    Article  Google Scholar 

  • Wu, B., Birkin, M., & Rees, P. (2010). A dynamic microsimulation model with agent elements for spatial demographic forecasting. Social Science Computing Review. Published online first on May 18, 2010, DOI 10.1177/0894439310370113.

    Google Scholar 

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Authors and Affiliations

  1. School of Geography, University of Leeds, Leeds, LS2 9JT, UK

    Mark Birkin & Martin Clarke

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  1. Mark Birkin
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  2. Martin Clarke
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Correspondence to Mark Birkin .

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Editors and Affiliations

  1. School of Geography, Fac. Earth and Environment, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, United Kingdom

    John Stillwell

  2. School of Geography, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, United Kingdom

    Martin Clarke

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Birkin, M., Clarke, M. (2011). Spatial Microsimulation Models: A Review and a Glimpse into the Future. In: Stillwell, J., Clarke, M. (eds) Population Dynamics and Projection Methods. Understanding Population Trends and Processes, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8930-4_9

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